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<journal-id journal-id-type="publisher-id">Front. Earth Sci.</journal-id>
<journal-title>Frontiers in Earth Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Earth Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-6463</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1652780</article-id>
<article-id pub-id-type="doi">10.3389/feart.2025.1652780</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Earth Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Spatial typologies and structural characteristics of Jiangnan water town settlements: a &#x201c;water system&#x2013;human settlement&#x201d; perspective</article-title>
<alt-title alt-title-type="left-running-head">Yang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/feart.2025.1652780">10.3389/feart.2025.1652780</ext-link>
</alt-title>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Zhirong</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/3110085/overview"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Haisong</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<name>
<surname>Kharchenko</surname>
<given-names>Anastasiia</given-names>
</name>
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<aff>
<institution>Shanghai Academy of Fine Arts, Shanghai University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1803572/overview">Haimeng Liu</ext-link>, Chinese Academy of Sciences (CAS), China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2201269/overview">Christopher Okech</ext-link>, Moi University, Kenya</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2858899/overview">Yuhao Huang</ext-link>, City University of Macau, Macao SAR, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Haisong Wang, <email>3067469113@qq.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1652780</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Yang, Wang and Kharchenko.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yang, Wang and Kharchenko</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>The diversity and heterogeneity of the water network environment in the Jiangnan region have fostered highly distinctive water town settlement spaces. Scientific research on the interactions between water system environments and human settlement spaces is of great significance to the high-quality development of urban-rural integration in the Yangtze River Delta. However, current academic research on the spatial patterns of Jiangnan water town settlements under the influence of &#x201c;water system-human settlement&#x201d; coupling remains unsystematic. Therefore, this study takes the Eco-Green Integrated Development Zone (EGIDZ) of the Yangtze River Delta&#x2014;located in the core area of Jiangnan water towns&#x2014;as a case study, and uses Geographic Information System (GIS) software combined with the landscape pattern index analysis method to study the spatial typologies and structural characteristics of the &#x201c;water system-human settlement&#x201d; coupling in 29 towns within EGIDZ. The study reveals the following. 1) The settlement spaces within the EGIDZ of the Yangtze River Delta generally exhibit an agglomeration pattern characterized by &#x2018;single-core large-scale aggregation with multi-core small-scale dispersion,&#x2019; among which linear settlements (including low-density and medium-density ones) have the widest distribution, accounting for 45.2%. 2) The water system environment has a significant impact on the spatial forms and characteristics of settlements in the region; these variations in the pattern of Jiangnan water networks determine the basic type characteristics of settlement spaces (point-like, linear, clustered). 3) Jiangnan water town settlements are constantly evolving alongside natural environments and human activities. The natural environment, especially the water system environment, determines the spatial distribution of early settlements, while human activity factors such as agricultural production and infrastructure construction drive the evolution and development of settlement spatial structures. This study further clarifies the inherent order of commonalities and differences in the spatial typologies and structural characteristics of settlements in Jiangnan water towns, providing a reference framework for future policies on protecting distinctive settlements in &#x201c;new Jiangnan water towns&#x201d; and methods for landscape construction.</p>
</abstract>
<kwd-group>
<kwd>Jiangnan water towns</kwd>
<kwd>human settlements</kwd>
<kwd>typologies and characteristics</kwd>
<kwd>waternetwork environment</kwd>
<kwd>Yangtze River Delta</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Geoinformatics</meta-value>
</custom-meta>
</custom-meta-wrap>
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</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<sec id="s1-1">
<title>1.1 Research background</title>
<p>Understanding the interaction between humans and nature is crucial for achieving global sustainability and enhancing human welfare (<xref ref-type="bibr" rid="B29">Liu et al., 2025</xref>). In this interaction, water is irreplaceable to human life and production processes, and is inextricably linked to the formation and development of human settlements (<xref ref-type="bibr" rid="B43">Wu, 2014</xref>). The earliest human settlements often emerged in valley plain areas, where water systems supported agricultural development and gave birth to ancient human civilizations (<xref ref-type="bibr" rid="B31">Morris et al., 2018</xref>). For instance, the Mesopotamian civilization in the Tigris-Euphrates River plain, the Egyptian civilization in the Nile Valley, and the Chinese civilization in the Yellow River-Yangtze River basin. Over time, human settlements have undergone a remarkable transformation: from the wilderness (dependent on the natural environment) to the countryside (a semi-natural and semi-artificial agricultural environment) and then to the city (expansion of artificial environments) (<xref ref-type="bibr" rid="B25">Liu, 2015</xref>).</p>
<p>In recent years, the rapid advancement of urbanization posed a significant threat to natural environments such as water systems, landforms and vegetation, as well as to agricultural and residential environments (<xref ref-type="bibr" rid="B15">Huang et al., 2025a</xref>). In particular, the most prominent impact was made on the natural and semi-artificial environments that rural settlements have long relied on.</p>
<p>The Yangtze River Delta, as one of the most economically developed regions in China, contributes approximately one-fifth of the national economic output with 3.7% of the country&#x2019;s land area and 16.6% of its population (<xref ref-type="bibr" rid="B32">National Bureau, 2024</xref>). However, with rapid urbanization, typical Jiangnan water town settlements are facing challenges in protecting their habitat and spatial structures (<xref ref-type="bibr" rid="B49">Zhang et al., 2024</xref>). The quick development of cities gradually eroded the characteristics of traditional Jiangnan water towns and intensified conflicts between the water environment and human settlements (<xref ref-type="bibr" rid="B16">Huang et al., 2025b</xref>).</p>
<p>In response to this confrontation, the Eco-Green Integrated Development Zone (EGIDZ) of the Yangtze River Delta was established in 2019 with an aim to explore a new paradigm for ecologically friendly development of urban and rural areas. The core area of EGIDZ is Jiangnan water towns. Subsequently, in 2023, the Chinese government approved the <italic>Master Spatial Plan for the Eco-Green Integrated Development Zone of the Yangtze River Delta (2021&#x2013;2035)</italic> and put forward green development goals for 2035. As a result, Jiangnan water town settlements became a foundation for high-quality development and in-depth research with interdisciplinary collaboration. Therefore, studies on the classification and spatial morphology of settlements in the EGIDZ provide a scientific basis for the protection and development of the &#x201c;water system-human settlement&#x201d; principle. These research also provide theoretical support for the landscape construction and land use development of urban and rural settlements in water systems environments.</p>
</sec>
<sec id="s1-2">
<title>1.2 Research review</title>
<p>The diversity and heterogeneity of the water system in Jiangnan cultivated a very distinctive settlement space. Research on the settlement space of Jiangnan water towns has long been a focus of academic attention. In the early 1980s, Yisan Ruan and his research team carried out a series of protection measures focusing on the historical and cultural values of traditional settlements in this region (<xref ref-type="bibr" rid="B33">Ruan and Yuan, 2016</xref>). Besides, Jin Duan regarded the poetic landscape of traditional settlements featuring &#x201c;small bridges, flowing water, and residences (&#x5c0f;&#x6865;, &#x6d41;&#x6c34;, &#x4eba;&#x5bb6;)&#x201d; as the distinctive spatial characteristic of Jiangnan water towns (<xref ref-type="bibr" rid="B9">Duan and Ji, 2002</xref>).</p>
<p>In addition, the study of settlement typologies and characteristics of Jiangnan water towns has long been a priority in the fields of architecture, urban planning and landscape science, and is in a phase of stable and rapid development (<xref ref-type="bibr" rid="B24">Li and Song, 2023</xref>). In terms of existing research, scholars with different academic backgrounds place different emphasis on their research approaches and methods, leveraging the strengths of their disciplines. For example, based on the general geographical features of the Jiangnan region, where the west is dominated by plains with low mountains and hills, Qiming Jin divided the rural villages around Taihu Lake in Jiangsu Province into mountainous, plains, and lake-marsh types (<xref ref-type="bibr" rid="B22">Jin, 1982</xref>). In contrast, Junfan Wu focused on the historical differentiation mechanisms of water town settlement patterns in Jiangnan (<xref ref-type="bibr" rid="B44">Wu, 2016a</xref>), arguing that three types of human settlement zones&#x2014;&#x201c;low-lying areas,&#x201d; &#x201c;high-lying areas,&#x201d; and &#x201c;coastal areas&#x201d;&#x2014; gradually formed in the Jiangnan water environment region since the Tang Dynasty (<xref ref-type="bibr" rid="B45">Wu, 2016b</xref>). Meanwhile, based on the positional relationship of &#x201c;water systems - human settlements&#x201d; and the rural survey reports in Wuxi area, Jin Duan classified settlements into spatial patterns characterized by the following features: construction along water, integration of waterways and settlements, surrounded by mountains and water, development along roads (<xref ref-type="bibr" rid="B8">Duan, 2015</xref>). As revealed by the literature review analysis (<xref ref-type="table" rid="T1">Table 1</xref>), current scholars differ in their research perspectives on the spatial types and characteristics of rural settlements within the Jiangnan water system environment. Qualitative classification of spatial types is primarily conducted from dimensions such as geomorphic features, historical geography, positional relationships between water sources and towns, and paddy field landscape patterns.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Research on spatial typologies and characteristics of settlements in Jiangnan water towns.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Bases</th>
<th align="center">Sources</th>
<th align="center">Categories</th>
<th align="center">Regions</th>
<th align="center">Features</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="center">Geomorphic features</td>
<td align="center">
<xref ref-type="bibr" rid="B6">Chinese Academy of Agricultural Sciences (1990)</xref>
</td>
<td align="center">Lake marsh plains, water network plains, river valley plains, and mountainous flatlandsetc.</td>
<td align="center">Taihu Lake Basin</td>
<td rowspan="4" align="center">Analysis of the morphological characteristics of water town settlements based on the geographical environments of Jiangnan water towns (plains, lake marshes, hills)</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B22">Jin (1982)</xref>
</td>
<td align="center">Mountainous type, plain type, lake marsh typeetc.</td>
<td align="center">Southern Jiangsu region</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B37">Wang (2019)</xref>
</td>
<td align="center">Mountainous type, hilly type, plain type, lake marsh type, polder type</td>
<td align="center">Southern Jiangsu region</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B41">Wei (2023)</xref>
</td>
<td align="center">Plain water town type, medium-hill type, and low-hill type</td>
<td align="center">Northern Zhejiang region</td>
</tr>
<tr>
<td rowspan="4" align="center">Historical geography</td>
<td align="center">
<xref ref-type="bibr" rid="B44">Wu (2016a)</xref>
</td>
<td align="center">Low-lying rural settlements, high-lying rural settlements, and coastal settlements</td>
<td align="center">Taihu Lake Basin</td>
<td rowspan="2" align="center">Based on the core elements of the geographical environment in the Jiangnan region, these articles have evolved from agricultural life and production activities to the development characteristics of settlement forms</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B40">Wang et al. (2024)</xref>
</td>
<td align="center">Tuanzao settlements, polder field settlements, dunxun settlements, zhaigou settlements</td>
<td align="center">Taihu Lake Basin</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B46">Yang (1992)</xref>
</td>
<td align="center">Tangpu (main irrigation canals), Jingbang (branch watercourses), Ganhe (trunk rivers), and terminal waterwaysetc.</td>
<td align="center">Shanghai area</td>
<td rowspan="2" align="center">An analysis is conducted on the names of water systems and the characteristics of settlement forms in Shanghai from a historical perspective</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B53">Zhou et al. (2024)</xref>
</td>
<td align="center">Doubang water networks, Jingbang water networks, organic networks, regular canal networks</td>
<td align="center">Pudong, Shanghai</td>
</tr>
<tr>
<td rowspan="3" align="center">Water-settlement location</td>
<td align="center">
<xref ref-type="bibr" rid="B8">Duan (2015)</xref>
</td>
<td align="center">Built along water, integration of water lanes and settlements, surrounded by mountains and water, development along roads</td>
<td align="center">Wuxi</td>
<td rowspan="3" align="center">Analyze the characteristics of settlement patterns based on the form and positional relationship of water systems, including ribbon-like, cluster-like, and branch-like patterns along rivers</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B7">Ding (2015)</xref>
</td>
<td align="center">Island type, water network-enclosed type, water-front type</td>
<td align="center">Changzhou</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B30">Ministry of Housing and Urban-Rural Development of the People&#x2019;s Republic ofChina (2016)</xref>
</td>
<td align="center">Net-like, &#x201c;&#x4e95;&#x201d; shaped, fishbone-like and wraparound shapes</td>
<td align="center">Southern Jiangsu</td>
</tr>
<tr>
<td rowspan="3" align="center">Water-paddy landscape</td>
<td align="center">
<xref ref-type="bibr" rid="B55">Guo (2025)</xref>, <xref ref-type="bibr" rid="B34">Shi et al. (2022)</xref>
</td>
<td align="center">Valley weir fields, Lougang polder fields, lake marsh polder fields, pond-weir fields, and highland flat fields</td>
<td align="center">Taihu Lake Basin</td>
<td rowspan="3" align="center">Analysis of the spatial form and characteristics of settlements based on agricultural reclamation methods</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B35">Sun et al. (2024)</xref>
</td>
<td align="center">Mountain beach weir fields, plain weir fields, lakeside polder fields</td>
<td align="center">Northern Zhejiang region</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B53">Zhou et al. (2024)</xref>
</td>
<td align="center">Hilly fan fields, lake marsh fan fields, Jingbang polder fields, and standard polder fields</td>
<td align="center">Northern Zhejiang region</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In recent years, with the rapid development of computer science and artificial intelligence, the application of intelligent technologies such as remote sensing information (<xref ref-type="bibr" rid="B3">Cai et al., 2025</xref>), GIS technology (<xref ref-type="bibr" rid="B17">Huang et al., 2025c</xref>), spatial models (<xref ref-type="bibr" rid="B5">Chen et al., 2023</xref>), and machine learning (<xref ref-type="bibr" rid="B51">Zhong et al., 2025</xref>) made it possible to overcome the limitations of current research on the spatial characteristics of water town settlements. This gradually contributed to methodological innovations and technological transformations in interdisciplinary and integrated research within this field (<xref ref-type="bibr" rid="B14">Huang et al., 2024</xref>). For instance, Yipeng Wang extracted 31 samples of vernacular landscape fragments in the Hang-Jia-Hu region using satellite images. By integrating knowledge from disciplines such as environmental history, agricultural history, and human geography, he derived settlement structure types consisting of concepts and abstract schemas (<xref ref-type="bibr" rid="B38">Wang, 2025</xref>). Xinqu Liu created 3D village models via ArcGIS and BIM. He also established a water environment spectrum of village spaces within the region by taking 728 traditional villages in the Jiangnan area as research objects (<xref ref-type="bibr" rid="B26">Liu H. et al., 2022</xref>). From the perspective of architectural heritage value of ancient settlements, Yuhao Huang conducted quantitative analysis on the spatial forms and characteristics of traditional settlements in the Nanxi River Basin. This analysis considered geographical information such as topography and water systems, as well as historical and cultural factors (<xref ref-type="bibr" rid="B18">Huang et al., 2025d</xref>; <xref ref-type="bibr" rid="B19">Huang et al., 2025e</xref>). Focusing on the spatiotemporal patterns and accessibility assessment of settlements, Yi Zhang adopted overlay analysis of global (OLS) and local spatial regression (GWR) models. Through these methods, he analyzed the global and local spatial factors influencing the accessibility of traditional villages in the Jiangnan region (<xref ref-type="bibr" rid="B49">Zhang et al., 2024</xref>).</p>
<p>Research on the typology of settlement spaces in the Jiangnan water towns has continuously made methodological breakthroughs. However, as revealed by the literature review, current studies still lean heavily towards qualitative analyses of the natural, humanistic, and historical dimensions of settlement spaces. In particular, research describes the characteristics of spatial patterns of rural settlements (<xref ref-type="bibr" rid="B48">Zhang and Zhang, 2022</xref>). There is a lack of comprehensive, cross-scale quantitative studies on the relationship between water systems and settlement environments. Furthermore, scientific understanding has not yet been established in terms of their mutual construction and interrelationship.</p>
</sec>
<sec id="s1-3">
<title>1.3 Problem statement and objectives</title>
<p>The Tang Dynasty poet Du Xunhe once depicted the intimate connection between the environment of Jiangnan water town and human settlements with the lines, &#x201c;When you arrive in Gusu, you will see that every household rests upon the river (&#x541b;&#x5230;&#x59d1;&#x82cf;&#x89c1;, &#x4eba;&#x5bb6;&#x5c3d;&#x6795;&#x6cb3;).&#x201d; Due to the diverse forms of water systems in the Jiangnan region, their interactions and mutual influences with settlement spaces manifest at different scales (<xref ref-type="bibr" rid="B50">Zhao and Wang, 2018</xref>). A single-scale perspective does not allow to accurately capture the spatial types and internal structural characteristics of rural settlements within such water systems environments (<xref ref-type="bibr" rid="B4">Chen et al., 2022</xref>). Therefore, this study focuses on the multi-scale characteristics of &#x201c;water system-human settlement&#x201d; paired structure, taking the EGIDZ as an example. It uses the geographic information system to interpret the characteristics of the settlement space in the Yangtze River area, so as to develop ideas and methods for preserving values and recommendations for sustainable construction in the area.</p>
<p>Nowadays, under the value pursuit of ecological and green integrated development in the Yangtze River Delta, a spatial model and ecological safety model are being established where the &#x201c;water system-human settlements&#x201d; in the Jiangnan water towns interact and coexist (<xref ref-type="bibr" rid="B42">Wei et al., 2023</xref>). Creating the human settlement scenarios of the &#x201c;new Jiangnan water towns&#x201d; under the metropolis at multiple spatial scales became a continuous driving force for stimulating the sustainable development of this region. Thereby, this study aims to answer the following research questions: (1) What kind of settlement spatial model does the EGIDZ present in the Jiangnan water network environment? (2) What settlement spatial types and significant characteristics does it possess? (3) How do the settlement spatial forms and structures evolve under the interaction of &#x201c;water system-human settlements&#x201d;?</p>
</sec>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Study area: the EGIDZ of Yangtze River Delta</title>
<p>&#x201c;Jiangnan (&#x6c5f;&#x5357;)&#x201d; is a term with historical origins, which not only generally refers to the geographical concept of &#x201c;south of the Yangtze River&#x201d; but also a cultural symbol that embodies elements of China&#x2019;s history, politics, and economy. However, the scope it refers to has undergone significant changes in history. In fact, scholars in disciplines such as literature, geography, history, and economics have not yet reached a consensus (<xref ref-type="bibr" rid="B39">Wang et al., 2016</xref>). It is certain that with the change of dynasties and social development, the core area of &#x201c;Jiangnan&#x201d; gradually converged with the area of the Taihu Lake Basin (<xref ref-type="bibr" rid="B23">Li, 2007</xref>) (<xref ref-type="fig" rid="F1">Figure 1</xref>). Based on historical documents, survey materials, and the focus of previous studies, the water-based settlements within the water system environment of the Taihu Lake Basin, which express the cultural emotions and imagery elements of Jiangnan, are defined as &#x201c;Jiangnan water towns&#x201d;.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Jiangnan and Jiangnan Water Towns. (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g001.tif">
<alt-text content-type="machine-generated">Map divided into two sections. The left shows Jiangnan's definitions across disciplines with areas marked for economics, Tang Dynasty, literature, dialectology, and meteorology. The right details Jiangnan water towns around Taihu Lake, highlighting city boundaries, provincial capitals, major cities, and locations of traditional villages and historical towns. A legend clarifies map symbols.</alt-text>
</graphic>
</fig>
<p>The Yangtze River basin is recognized as an ecological security barrier of China (<xref ref-type="bibr" rid="B27">Liu X. et al., 2022</xref>). Since ancient times, it has been known as a habitable &#x201c;land of fish and rice (&#x9c7c;&#x7c73;&#x4e4b;&#x4e61;)&#x201d;. The &#x201c;Jiangnan water towns&#x201d; based in the Taihu Lake Basin, constitute the core area of China&#x2019;s &#x201c;Yangtze River Delta Regional Integration Development.&#x201d; Located in the subtropical mild and humid monsoon climate zone, these water towns feature four distinct seasons and concurrent rainfall and heat. The average monthly temperature in summer ranges from 25 &#xb0;C to 30 &#xb0;C. Such climatic conditions, combined with the complex water system of the Taihu Lake Basin, shaped the unique agricultural landscape of the region and laid a solid foundation for its long-term prosperity and cultural continuity.</p>
<p>In 2019, the Eco-Green Integrated Development Zone (EGIDZ) of the Yangtze River Delta (30&#xb0;45&#x2032;36&#x2033;&#x2013;31&#xb0;17&#x2032;24&#x2033;E, 120&#xb0;21&#x2032;36&#x2033;&#x2013;121&#xb0;19&#x2032;48&#x2033;N) was established. It is located at the intersection of provinces Jiangsu, Zhejiang and Shanghai, including Wujiang District of Suzhou City, Jiashan County of Jiaxing City and Qingpu District of Shanghai.</p>
<p>The EGIDZ covers a total land area of approximately 2,413 km<sup>2</sup>. Due to the geographical location, it stands as a core region of typical Jiangnan water towns ((<xref ref-type="fig" rid="F2">Figure 2</xref>). The region is located in the low-lying area on the eastern side of the Taihu Lake Basin and features a flat terrain with dense clusters of lakes. The average altitude is only about 6 m. Its water surface area reaches 438.2 km<sup>2</sup>, which is 18.16% of the total area. The environment of water systems and human settlement areas are closely interconnected. The region allows us to study this connection and it also reflects the typical characteristics of Jiangnan&#x2019;s water towns. Based on the relevant data published in the <italic>Master Spatial Plan for the Eco-Green Integrated Development Zone of the Yangtze River Delta (2021&#x2013;2035)</italic>, the research samples in this study are determined as 29 towns within the region. The rural area among these towns is 1337.8 km<sup>2</sup>, which is 55.44% of the total area (<xref ref-type="bibr" rid="B54">Zuo and Zhang, 2023</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>EGIDZ in the Yangtze River Delta. (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g002.tif">
<alt-text content-type="machine-generated">Map of the Yangtze River Delta region in China showing the Ecological Green Integration Demonstration Zone (EGIDZ). The map includes detailed insets of China and Jiangnan area. EGIDZ areas are highlighted with different colors: Qingpu District, Wujiang District, and Jiashan County. Key locations such as Suzhou, Shanghai, and Nanjing are marked. Elevation is indicated with color gradients from low to high. The map includes a legend for city boundaries, rivers, waters, and elevation. A detailed list of towns and streets within the EGIDZ is provided at the bottom.</alt-text>
</graphic>
</fig>
<p>The unique natural environmental conditions of the Jiangnan water system determine the main functional positioning of EGIDZ as &#x201c;ecological and green&#x201d; (<xref ref-type="bibr" rid="B20">Ji et al., 2023</xref>). However, the urban sprawl and growing rural construction in recent years have also brought a series of problems. For example, the ecosystem where the water system is dominant has been seriously damaged, which has led to the overall deterioration of the water village style. This is one of the reasons why it is necessary to ensure the protection and development of the local landscape and cultural values (<xref ref-type="bibr" rid="B47">Zhang and Zhai, 2021</xref>).</p>
<p>In February 2025, the Executive Committee of the EGIDZ issued and implemented the <italic>Special Plan for the Water Demonstration Zone in the Pioneer Zone of the Yangtze River Delta Ecological and Green Integrated Development Demonstration Zone (2021&#x2013;2035)</italic>. This plan further clarifies the characteristics of Jiangnan water towns featuring &#x201c;taking water as the vein and integrating blue and green spaces&#x201d;. The purpose is to form a settlement spatial system characterized by large-scale dispersion, small-scale concentration, and strong connectivity. This strategic approach emphasizes the ecological value of water systems and provides a clear direction for optimizing the spatial structure of settlements in the region. Therefore, it is urgent to identify and optimize the area of settlements in EGIDZ.</p>
</sec>
<sec id="s2-2">
<title>2.2 Data sources and processing</title>
<p>This study uses the data obtained from public databases (<xref ref-type="table" rid="T2">Table 2</xref>), including: (1) Digital Elevation Model data with a resolution of 30   m, sourced from the Geospatial Data Cloud; (2) Current land use and land cover data with a spatial resolution of 30m, obtained from the National Tibetan Plateau Data Center and the European Space Agency; (3) Spatial distribution data of water systems and basins, etc., derived from the Resource and Environmental Science Data Center of the Chinese Academy of Sciences; (4) Public space data such as roads, infrastructure, and construction land, retrieved from Baidu Maps Points of Interest (POIs); (5) Vector data of the EGIDZ and data related to the functional structure of territorial space, acquired from national administrative boundary data and the <italic>Master Spatial Plan for the Yangtze River Delta Ecological and Green Integrated Development Demonstration Zone (2021&#x2013;2035)</italic>. The above data (all from 2022) collectively constitute the spatial dataset of this study. In addition, relevant image data within the region were mainly obtained from the government&#x2019;s Bureau of Natural Resources and Planning, the National Geographical Information Public Service Platform (Tianditu), the website of the United States Geological Survey (USGS), and Google Earth.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The sources of the EGIDZ spatial data.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Date set</th>
<th align="center">Date source</th>
<th align="center">Application</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Elevation data</td>
<td rowspan="5" align="center">Geospatial Data Cloud<break/>(<ext-link ext-link-type="uri" xlink:href="https://www.gscloud.cn/">https://www.gscloud.cn/</ext-link>) (Accessed on 20 March 2025)</td>
<td align="center">Slope, proximity index, shape index, etc</td>
</tr>
<tr>
<td align="center">Rural settlements</td>
<td align="center">Area calculation</td>
</tr>
<tr>
<td align="center">Demonstration area range data</td>
<td align="center">Demarcation of scope</td>
</tr>
<tr>
<td align="center">Rural infrastructure</td>
<td align="center">Point measurement</td>
</tr>
<tr>
<td align="center">Administrative boundary</td>
<td align="center">Settlement area, perimeter calculation</td>
</tr>
<tr>
<td align="center">Land use status 2020</td>
<td rowspan="2" align="center">National Tibetan Plateau Science Data Center<break/>(<ext-link ext-link-type="uri" xlink:href="https://data.tpdc.ac.cn/">https://data.tpdc.ac.cn/</ext-link>)<break/>European Space Agency (<ext-link ext-link-type="uri" xlink:href="https://viewer.esa-worldcover.org/">https://viewer.esa-worldcover.org/</ext-link>)<break/>(Accessed on 20 March 2025)</td>
<td align="center">Land use type differentiation and area calculation</td>
</tr>
<tr>
<td align="center">Land cover data</td>
<td align="center">Building area calculation</td>
</tr>
<tr>
<td align="center">Water system spatial distribution data</td>
<td align="center">Resources and Environmental Sciences and Data Center<break/>(<ext-link ext-link-type="uri" xlink:href="http://www.resdc.cn/">http://www.resdc.cn/</ext-link>) (Accessed on 24 March 2025)</td>
<td align="center">Hydrological analysis</td>
</tr>
<tr>
<td align="center">Territorial spatial function structure data</td>
<td align="center">Qingpu District People&#x2019;s Government of Shanghai<break/>(<ext-link ext-link-type="uri" xlink:href="https://www.shqp.gov.cn/">https://www.shqp.gov.cn/</ext-link>) (Accessed on 20 March 2025)</td>
<td align="center">Village area, water area, land type and other data supplement</td>
</tr>
<tr>
<td align="center">Major roads</td>
<td align="center">OpenStreetMap (<ext-link ext-link-type="uri" xlink:href="https://www.openhistoricalmap.org/">https://www.openhistoricalmap.org/</ext-link>)<break/>(Accessed on 24 March 2025)</td>
<td align="center">Road network calculation</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>All indicators were standardized to a data resolution of 100m, and geographical coordinate calibration and spatial information processing were performed in ArcGIS.</p>
</sec>
<sec id="s2-3">
<title>2.3 Research methodology</title>
<sec id="s2-3-1">
<title>2.3.1 Research framework</title>
<p>This study employs various methods, including historical document analysis, spatial information processing and field surveys, to conduct a digital analysis of the settlement space and structural characteristics in the study area (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Research framework. (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g003.tif">
<alt-text content-type="machine-generated">Flowchart illustrating a three-step process for spatial analysis. Step 1: Data Collection includes historical materials, field research, literature review, and geospatial data. Step 2: Data Preprocessing involves GIS spatial analysis, landscape pattern index, and layers like villages location, land use, and water network. Step 3: Result and Conclusion features spatial distribution pattern, spatial cluster analysis, quantitative, and qualitative analysis, including spatial autocorrelation, nearest neighbor index, and structural features.</alt-text>
</graphic>
</fig>
<p>Firstly, based on the GIS spatial analysis method, the following data were pre-processed for visualization and scientific justification: settlement land use types, digital terrain data, hydrological data and infrastructure data. Secondly, processed data were combined with the formula calculation of landscape pattern indices, so it revealed digital analysis results of the morphological characteristics and internal structure of EGIDZ settlement spaces. Thirdly, the qualitative research methods verified the digital results through an investigation of historical documents and an analysis of current state of the settlement water systems and agricultural residential environments. Finally, this study integrates clustering methods and qualitative research to conduct a typological analysis of rural and urban settlement spaces in the region. On this basis, the analysis combines remote sensing imagery and field survey data to examine the evolutionary patterns in the spatial structure within each settlement type. These findings produce a reference framework for sustainable urban-rural development and the protection of traditional settlements.</p>
</sec>
<sec id="s2-3-2">
<title>2.3.2 Methods</title>
<p>Landscape pattern indices form the foundation for understanding settlement spaces. They are technical tools that quantify and measure settlement morphology and spatial characteristics using statistics and spatial analysis (<xref ref-type="bibr" rid="B16">Huang et al., 2025b</xref>). This method has the ability to describe the spatial characteristics of settlements and express the interaction of &#x201c;water system&#x2013;human settlement&#x201d; (<xref ref-type="bibr" rid="B13">Hu et al., 2008</xref>). At the macro scale, the spatial distribution characteristics of settlements can be explored by the Approximate Nearest Neighbor index (ANN) of settlements. It plays a key role in determining the spatial distribution type and agglomeration degree of settlement points. The calculation method of ANN is shown in <xref ref-type="disp-formula" rid="e1">Equation 1</xref>. When ANN&#x3c;1, the settlement distribution tends to cluster pattern; when ANN&#x3e;1, the distribution tends to be random.<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mi mathvariant="italic">A</mml:mi>
<mml:mi mathvariant="italic">N</mml:mi>
<mml:mi mathvariant="italic">N</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mover accent="true">
<mml:msub>
<mml:mi mathvariant="italic">d</mml:mi>
<mml:mi mathvariant="italic">min</mml:mi>
</mml:msub>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi mathvariant="italic">E</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="italic">d</mml:mi>
<mml:mi mathvariant="italic">min</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mn mathvariant="normal">1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:mn mathvariant="normal">2</mml:mn>
</mml:mrow>
</mml:mfrac>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi mathvariant="italic">i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn mathvariant="normal">1</mml:mn>
</mml:mrow>
<mml:mi mathvariant="italic">n</mml:mi>
</mml:msubsup>
<mml:msub>
<mml:mi mathvariant="italic">d</mml:mi>
<mml:mi mathvariant="italic">i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mn mathvariant="normal">2</mml:mn>
<mml:msqrt>
<mml:mrow>
<mml:mi mathvariant="italic">n</mml:mi>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:mi mathvariant="italic">A</mml:mi>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>Where <inline-formula id="inf1">
<mml:math id="m2">
<mml:mrow>
<mml:msub>
<mml:mi>d</mml:mi>
<mml:mi>min</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the observed average of each village settlement point and its nearest point; <inline-formula id="inf2">
<mml:math id="m3">
<mml:mrow>
<mml:mi mathvariant="bold-italic">E</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>d</mml:mi>
<mml:mi>min</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> is the expected average distance between settlement points in villages and towns under the assumed random model; <italic>n</italic> is the total number of settlement points; <italic>d</italic> is the distance; <italic>A</italic> is village area.</p>
<p>The Settlement Boundary Shape Index (BSI) is a mathematical indicator widely used in landscape ecology (<xref ref-type="bibr" rid="B21">Jiang et al., 2025</xref>). It can reflect the complexity of the contour shapes of rural and urban settlements at the macro level. The higher the value, the more complex the boundary. The calculation is shown in <xref ref-type="disp-formula" rid="e2">Equation 2</xref>.<disp-formula id="e2">
<mml:math id="m4">
<mml:mrow>
<mml:mi mathvariant="italic">B</mml:mi>
<mml:mi mathvariant="italic">S</mml:mi>
<mml:mi mathvariant="italic">I</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi mathvariant="italic">i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn mathvariant="normal">1</mml:mn>
</mml:mrow>
<mml:mi mathvariant="italic">n</mml:mi>
</mml:munderover>
</mml:mstyle>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mfrac>
<mml:msub>
<mml:mi mathvariant="italic">a</mml:mi>
<mml:mi mathvariant="italic">i</mml:mi>
</mml:msub>
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi mathvariant="italic">i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn mathvariant="normal">1</mml:mn>
</mml:mrow>
<mml:mi mathvariant="italic">n</mml:mi>
</mml:msubsup>
<mml:msub>
<mml:mi mathvariant="italic">a</mml:mi>
<mml:mi mathvariant="italic">i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xb7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="italic">p</mml:mi>
<mml:mi mathvariant="italic">i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mn mathvariant="normal">4</mml:mn>
<mml:msqrt>
<mml:msub>
<mml:mi mathvariant="italic">a</mml:mi>
<mml:mi mathvariant="italic">i</mml:mi>
</mml:msub>
</mml:msqrt>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>
</p>
<p>Where <inline-formula id="inf3">
<mml:math id="m5">
<mml:mrow>
<mml:msub>
<mml:mi>a</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> represents the area of the settlement <italic>i</italic>; <inline-formula id="inf4">
<mml:math id="m6">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">p</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> represents the perimeter of the settlement <italic>i</italic>.</p>
<p>The Land Use Diversity Index (LSDI) of settlements indicates the complexity and diversity of the composition between settlement land and other ecological spaces. Ecological space types are classified into <italic>nine categories</italic>, including forests, grasslands, swamps, lakes, rivers, farmlands, and built environment (<xref ref-type="bibr" rid="B2">Cai et al., 2023</xref>). A higher land use diversity implies a more complex spatial structure of land use. The calculation is shown in <xref ref-type="disp-formula" rid="e3">Equation 3</xref>.<disp-formula id="e3">
<mml:math id="m7">
<mml:mrow>
<mml:mi mathvariant="italic">L</mml:mi>
<mml:mi mathvariant="italic">S</mml:mi>
<mml:mi mathvariant="italic">D</mml:mi>
<mml:mi mathvariant="italic">I</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn mathvariant="normal">1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi mathvariant="italic">i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn mathvariant="normal">1</mml:mn>
</mml:mrow>
<mml:mi mathvariant="italic">s</mml:mi>
</mml:munderover>
</mml:mstyle>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="italic">n</mml:mi>
<mml:mi mathvariant="italic">i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="italic">N</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mn mathvariant="normal">2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
</p>
<p>Where <italic>N</italic> is the total number of settlement land types in all villages and towns; <inline-formula id="inf5">
<mml:math id="m8">
<mml:mrow>
<mml:msub>
<mml:mi mathvariant="normal">n</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the amount of land of a certain category <italic>i</italic>; <italic>S</italic> is the number of land types.</p>
<p>In addition, at the medium and micro scale, the structural differences and correlation characteristics inside the settlements are analysed through Road Density (RD) and Building Density (BD). The calculation is shown in <xref ref-type="disp-formula" rid="e4">Equations 4</xref>, <xref ref-type="disp-formula" rid="e5">5</xref>.<disp-formula id="e4">
<mml:math id="m9">
<mml:mrow>
<mml:mi mathvariant="italic">R</mml:mi>
<mml:mi mathvariant="italic">D</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac bevelled="true">
<mml:mrow>
<mml:mi mathvariant="italic">L</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="italic">A</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
<disp-formula id="e5">
<mml:math id="m10">
<mml:mrow>
<mml:mi mathvariant="italic">B</mml:mi>
<mml:mi mathvariant="italic">D</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac bevelled="true">
<mml:mrow>
<mml:mi mathvariant="italic">S</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="italic">A</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(5)</label>
</disp-formula>
</p>
<p>Where <italic>L</italic> is the length of the road center line; <italic>A</italic> is the area; <italic>S</italic> is the total built-up area of the settlement.</p>
</sec>
</sec>
</sec>
<sec id="s3">
<title>3 Results: spatial typologies and structural characteristics</title>
<sec id="s3-1">
<title>3.1 Index recognition</title>
<p>The measurement of landscape pattern index enables a quantitative analysis of the EGIDZ&#x2019;s settlement composition characteristics and spatial structure. Moreover, GIS spatial analysis method can serve for the data visualization.</p>
<p>
<xref ref-type="fig" rid="F4">Figure 4</xref> shows the overall and local spatial correlations of settlement distribution in the Demonstration Zone (EGIDZ). The finding of the study is that the spatial distribution of settlements in this region exhibits the typical pattern characteristics of &#x201c;single-core large agglomeration and multi-element small dispersion&#x201d; (<xref ref-type="bibr" rid="B1">Bi et al., 2024</xref>) (P &#x3e; 0.01, Z &#x3d; 1.78 &#x3c; 2.58). Spatial clusters mainly show consistency of H-L and L-H, occasionally interspersed with H-H and L-L cluster patterns, where H is for &#x201c;high&#x201d; and L is for &#x201c;low&#x201d;. From the 29 market towns studied, eight towns such as Wujiang WDG, Shengze Town, Yingpu Street, and Weitang Street show significant spatial clustering. In lake areas such as Dianshan and Yuandang (towns such as Lili town and Jinze town), the agglomeration of settlement areas is small due to the wide distribution of water areas. This indicates that a well-developed water system limits the clustering of settlements and promotes their uniform distribution across the territory.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Approximate Nearest Neighbor index (ANN). (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g004.tif">
<alt-text content-type="machine-generated">A map and chart illustrate spatial clustering analysis. The bell curve graph on the left shows a nearest proximity ratio of 1.027156, with a Z-score of 1.776236 and a P-value of 0.075694, indicating a random distribution. Different color codes define significance levels and critical values, with shades indicating clustering, randomness, and dispersion. The accompanying map on the right visualizes cluster types across various regions, marked by colors corresponding to inconspicuous, low, or high clustering probabilities. A legend explains the color coding, while a scale indicates distances in kilometers.</alt-text>
</graphic>
</fig>
<p>In terms of settlement boundaries and the environment, the integration degree of the Boundary Shape Index (BSI) of settlements in the EGIDZ is low with little variation, ranging from a minimum of 0.05 to a maximum of 0.83. The largest proportion falls in the interval of 0.25&#x2013;0.39. Overall, the rural and urban settlement morphology presents a relatively regular multi-point distribution pattern with low complexity (<xref ref-type="fig" rid="F5">Figure 5</xref>). In town centers and their surrounding areas, a higher economic level leads to more complex settlement patterns. In areas like Wujiang EDZ and Yingpu Street, the complexity of rural and urban settlements morphology shows a tendency to diverge outward. This spatial differentiation indicates that economic development may act as a driving force in shaping settlement boundaries. At the same time, the overall low complexity reflects the constrained influence of the regional natural environment on settlement expansion.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Settlement Boundary Shape Index (BSI). (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g005.tif">
<alt-text content-type="machine-generated">Map and bar chart depicting the Boundary Shape Index (BSI) of settlements. The map shows varying BSI levels across regions, indicated by shades of green. The bar chart on the right displays the number of settlements within specific BSI ranges: 0.05 to 0.26, 0.26 to 0.39, 0.39 to 0.51, 0.51 to 0.65, and 0.65 to 0.83. The bar representing 0.26 to 0.39 is the highest, suggesting most settlements fall within this range. A scale in kilometers and a compass are included.</alt-text>
</graphic>
</fig>
<p>In terms of settlement land use structure, the Land Use Diversity Index (LSDI) of settlements in the EGIDZ ranges from 0.21 to 1.36. The largest proportion is in the interval of 1.00&#x2013;1.12, and the overall pattern shows obvious characteristics of east-west differentiation. The dense network of lakes and marshes in Wujiang District generates complex land use patterns. This results in a more intricate structure for the land categories like grasslands, swamps, and water bodies compared to other areas (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Land Use Diversity Index (LSDI). (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g006.tif">
<alt-text content-type="machine-generated">Map and bar chart showing the Land Use Diversity Index (LSDI) across a region. The map uses a gradient from light to dark orange to represent LSDI ranges from 0.21 to 1.36. The bar chart depicts the number of settlements within each LSDI range, with the highest number between 1.00 and 1.12. A scale and north arrow are also present.</alt-text>
</graphic>
</fig>
<p>There is a positive correlation between settlement building density and road network density. This can intuitively reflect the development level of settlements. Situated across three provincial-level administrative divisions (Jiangsu Province, Zhejiang Province, and Shanghai Municipality), the EGIDZ boasts well-developed internal transportation within its settlements, with generally high road network density (RD). Specifically, 63.3% of the settlements have an RD ranging from 4.46 to 12.18 km/km<sup>2</sup> (<xref ref-type="fig" rid="F7">Figure 7</xref>). Driven by the Yangtze River Delta Integration Strategy, the EGIDZ has achieved a leading urbanization level in China. Correspondingly, the building density in its central urban areas and town centers is generally high; among these, Qingpu District of Shanghai registers the highest value (<xref ref-type="fig" rid="F8">Figure 8</xref>), with the maximum density reaching 47%. In contrast, relatively low building density is found in other townships where water areas are extensively distributed, and 66.5% of the settlements in these regions have a building density below 13%.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Building Density (BD). (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g007.tif">
<alt-text content-type="machine-generated">Map illustrating road density across regions, color-coded by density levels ranging from 0.00-4.46 to 20.11-38.57 kilometers per square kilometer. Adjacent bar chart depicts the number of settlements for each road density category, with the most settlements in the 4.46-7.86 range. A scale and compass rose are included.</alt-text>
</graphic>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Road Density (RD). (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g008.tif">
<alt-text content-type="machine-generated">Map and bar chart illustrating building density distribution. The map shows areas with varying building densities, from 0% to 47%, using a color gradient from light to dark. The bar chart represents the number of settlements within each density range, with the highest number in the 0%-5% category and the lowest in the 27%-47% category. A scale and compass are included for reference.</alt-text>
</graphic>
</fig>
<p>The identification of landscape pattern indices in the EGIDZ reveal the differentiation characteristics of settlement spaces within the water system region. In particular, it shows the correlation between the water systems and human settlements. The water system plays a significant role in urban and rural ecological environments, transportation facilities, and human life. It shapes the basic framework of settlement distribution, affects the operational efficiency of transportation systems and the quality of residents&#x2019; daily lives. Thereby, it becomes an irreplaceable element in maintaining the stability and vitality of the regional spatial structure.</p>
</sec>
<sec id="s3-2">
<title>3.2 Spatial typologies</title>
<p>The quantitative research on landscape pattern index allows to identify the spatial characteristics of settlements in EGIDZ. This study employs a combination of quantitative and qualitative clustering methods. Combined with historical and typological analysis, this approach performs a detailed clustering analysis of regional settlement space types. This study first quantifies spatial morphological characteristics using settlement landscape pattern indices. It then applies the K-Means clustering method to classify rural and urban settlements. The K value is preliminarily estimated according to research experience, then evaluated and verified using the elbow method. This process ultimately determined K &#x3d; 5 as the final number of clusters. The subsequent analysis, using tests for the significance of variances, examines the uniqueness of morphological types. This occurs from the point of view of historical-morphological typology based on differences in the stability of various settlement spatial form elements.</p>
<p>Combined with the topographic conditions and state of water system in EGIDZ (<xref ref-type="fig" rid="F9">Figure 9</xref>), the qualitative analysis method serves to test the results. This leads to a clear visualization of the interaction of &#x201c;water systems-human settlements&#x201d;. On this basis, the settlement space in the region was divided into three types: Point, Linear and Cluster. They include five sub-categories: Near B&#x101;ng - Low density - Point settlement, Riverside - Low density&#x2013;Linear settlement, Riverside - Medium density&#x2013;Linear settlement, Lakeside - Medium density - Cluster settlement, River network - High density - Cluster settlement (<xref ref-type="fig" rid="F10">Figure 10</xref>). Among them, the linear settlement type is the most widely distributed, accounting for 45.2%, as detailed in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Water network environment. (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g009.tif">
<alt-text content-type="machine-generated">Map and diagrams show settlement patterns and water-human settlement structures in a lake area. The map illustrates water networks, boundaries, lakes, and settlement points, with elevation indicated by color. Diagrams detail 10 by 13 and 3 by 4 kilometer structures, transitioning to standardized models, with labeled elements like settlements, lakes, and rivers.</alt-text>
</graphic>
</fig>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Distribution of settlement types. (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g010.tif">
<alt-text content-type="machine-generated">Map illustrating different settlement types in a region, categorized by density and form: point, linear, and cluster settlements. Insets show examples from Zhujiazhen, Zhujiajiao, and Xitangzhen with typical layouts. A legend explains the color coding, indicating low to high density settlements near lakes and rivers. A scale bar and north arrow are also included.</alt-text>
</graphic>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Spatial types of settlements in the EGIDZ.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Typologies</th>
<th align="center">Features</th>
<th align="center">Proportion</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Near B&#x101;ng - Low density - Point settlement</td>
<td align="center">Most of the point-like settlements are based on agricultural production, forming the settlement construction mode of &#x201c;b&#x101;ng-house-field&#x201d;</td>
<td align="center">12.8%</td>
</tr>
<tr>
<td align="center">Riverside - Low density - Linear settlement</td>
<td rowspan="2" align="center">Settlements situated along rivers and waterfronts gradually evolved into the &#x201c;river-dwelling -field&#x201d; settlement construction model</td>
<td align="center">28.5%</td>
</tr>
<tr>
<td align="center">Riverside - Medium density -Linear settlement</td>
<td align="center">16.7%</td>
</tr>
<tr>
<td align="center">Lakeside - Medium density - Cluster settlement</td>
<td rowspan="2" align="center">Water surrounds farmland, and its interweaving with residences forms clusters, embodying the &#x201c;water-dwelling -field&#x201d; settlement construction mode</td>
<td align="center">22.3%</td>
</tr>
<tr>
<td align="center">River network - High density - Cluster settlement</td>
<td align="center">19.7%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In addition, the study analyzed the structure of sample settlements using satellite imagery and field data. This approach clearly reveals the texture characteristics of &#x201c;water-field-dwelling&#x201d; settlements.</p>
</sec>
<sec id="s3-3">
<title>3.3 Structural features</title>
<p>Through the analysis of clustering results, we can gain a more in-depth understanding of the settlement space categories in the EGIDZ. Thereby it is possible to achieve a thorough understanding of the settlement spatial characteristics within the region. The study used identification and spatial morphological typology to extract structural characteristics from various types of settlements in EGIDZ. These methods also constructed a standardized the spatial pattern to summarize the adaptive development status of each type (<xref ref-type="fig" rid="F11">Figure 11</xref>).</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Spatial structure characteristics of settlements. (Image source: drawn by the author).</p>
</caption>
<graphic xlink:href="feart-13-1652780-g011.tif">
<alt-text content-type="machine-generated">Maps and diagrams depict various settlement patterns in water network and lake environments, comparing Yaozhuang, Yubei, Daxing, Zhujiajiao, Xitang, Yaozhuang Town, Gengtian, and Lili towns. Settlement types include point, linear, and cluster settlements with key features like rivers, lakes, and farmland highlighted.</alt-text>
</graphic>
</fig>
<sec id="s3-3-1">
<title>3.3.1 Point settlement: Near B&#x101;ng - Low density&#x2013;Point settlement</title>
<p>The point settlements are mostly scattered around the river outside of the town. In the eastern part of Taihu Lake, &#x201c;b&#x101;ng (&#x6d5c;)&#x201d; originally refers to a small river with a second separated riverbed, usually at the end of a water system. Gradually developing, &#x201c;Jing (&#x6cfe;)&#x201d; (mostly small man-made rivers) and &#x201c;b&#x101;ng&#x201d; formed irregular and curved water systems (<xref ref-type="bibr" rid="B36">Wang, 2009</xref>). Due to the small population scale, most of the point-like settlements are based on agricultural production, forming the settlement construction mode of &#x201c;b&#x101;ng-house-field&#x201d;.</p>
<p>In EGIDZ, the Near B&#x101;ng-Low density-Point settlements are mostly distributed in Qingpu area of Shanghai and Jiashan region of Jiaxing. This type of settlement is small in scale and its spatial distribution factors are point-like. In addition, the traffic network density is low, and the settlements are scattered in the periphery of the city. There is no significant agglomeration trend. Affected by man-made canals and relatively low urbanization level, the overall land use structure of the settlements is mainly farmland. It shows the characteristics of farmland parcel and Jing-B&#x101;ng interlace. It is worth mentioning that point-like settlements tend to develop in all directions over time, gradually forming lines or clusters.</p>
</sec>
<sec id="s3-3-2">
<title>3.3.2 Linear settlement: Riverside - Low/medium density &#x2013; Linear settlement</title>
<p>The formation of Linear Settlements is closely related to river morphology. About 80% of the settlements in Jiangnan Water Village are built along the river (<xref ref-type="bibr" rid="B35">Sun et al., 2024</xref>). The settlement patterns and polder layout often show linear structures along the water system. After the small plots were occupied, the settlements close to the water body expanded linearly along both sides of the river. Thus, they formed a band-like agglomeration pattern. Due to the needs of agricultural production, the distribution characteristics of settlements located by the waterfronts gradually developed into the &#x201c;river-dwelling-field&#x201d; settlement construction model.</p>
<p>The Riverside-Low density-Linear settlements are mostly distributed in the central periphery of EGIDZ. The spatial distribution factors tend to converge towards areas of dense river networks. The boundary shape is relatively simple, the road network and building combination pattern also show a linear development state. In addition, with the rapid urbanization, the linear settlements are not only distributed along the river, but also toward the road. This leads to the formation of a multi-level linear extension of the rural space.</p>
<p>The Riverside-Medium density-Linear settlements are mostly developed from low-density settlements, distributed along the river. There is a trend of getting closer to the urban center, and form a larger scale settlement center. Due to its relatively developed economic level and high urbanization rate, all factors such as the settlement boundary shape, land use structure, road network and building combination model shows a high level.</p>
</sec>
<sec id="s3-3-3">
<title>3.3.3 Cluster settlement: Lakeside - Medium density &#x2013; Cluster settlement; river network - High density - Cluster settlement</title>
<p>The cluster settlements are mainly distributed by the large and small lakes and next to the places of the confluence of rivers. Since the water area is quite large, agriculture and shipping are developed. The economic level is relatively high and the settlements are clustered in units. The eastern part of Taihu Lake was initially a swamp. Throughout the dynasties, people employed water conservation projects, dug rivers and canals to drain silt, and enclosed lakes for reclamation. Over time, intersecting rivers, ports, streams, and creeks formed an extensive waterway system, with addition of scattered lakes and swamps (<xref ref-type="bibr" rid="B10">Fan, 1986</xref>). People gather and settle in the intersection of river and lake network, so the water surrounds farmland and human settlements. The settlements form a unit, creating the &#x201c;water-dwelling-field&#x201d; settlement construction model.</p>
<p>Lakeside - Medium density - Cluster settlements in EGIDZ are mainly distributed in the central and western regions. Lakes densely cover the area (such as Dianshan Lake, Fen Lake, etc.), water surrounds the settlements, the river passes through the village. The complex water environment promotes the scattering of the settlement centers along the lake shore. The shape of the settlement boundary has a complex form. Cultivable land resources are quite limited. However, numerous fish ponds create a distinct &#x201c;lake - fish pond - polder - village&#x201d; land use structure. The road network and building densities remain relatively low. Although the lakes initially shaped the settlement units, the complex water network limited their expansion, resulting in a moderate overall density.</p>
<p>River network - High density - Cluster settlements usually form a large-scale settlement center at the intersection of rivers and develop a certain level of infrastructure (agriculture, tourism, etc.). An active spatial distribution pattern emerged as settlements gradually diverged. Their expansion followed the paths of rivers, lakes, and roads. Rivers intertwine with settlements, creating a complex land use structure where water system and human settlements interact. The settlement network shows an obvious centralization and units layout. Under the influence of economic development and related policies, cluster settlements tend to leverage river network resources to spread outward. This expansion will result in transforming them into larger agglomeration centers.</p>
<p>In general, due to the diverse forms of water systems, there are obvious differences in among different settlement types and their spatial structures. However, they all share the spatial features of Jiangnan water towns. The settlements form a landscape sequence of &#x201c;water-polder-dwelling-mountain&#x201d; with elements such as rivers, lakes, streets, dwellings, and fields. This common feature reflects the adaptation of settlements to the local natural environment and embodies the unique spatial logic of integrating nature and human-made spaces in the region.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<sec id="s4-1">
<title>4.1 The evolution of settlement space amid the dynamic development of water systems</title>
<p>In-depth development of ecological integration in the Yangtze River Delta allows to establish the theoretical unity of &#x201c;water system - human settlement&#x201d; in the Jiangnan region. It contributes to the creation of a new style of Jiangnan water towns that meets the needs of time. Shaoyan Fan elaborated the three basic stages: the emergence, growth, and maturity of settlements in China (<xref ref-type="bibr" rid="B11">Fan, 1994</xref>). He also described two evolutionary forms - concentration and dispersion - laying the theoretical foundation for the spatial structure of human settlements in China. Through the scientific analysis above, we defined the &#x201c;water system-human settlement&#x201d; relationships in the EGIDZ. Settlements are close to waterfronts of rivers and lakes and surrounded by an interwoven river network. There are settlement categories of point, linear, and cluster shapes. Tracking spatial patterns and comparing structural elements - buildings, roads, water networks, and land use - across settlements reveals the evolutionary laws and agglomeration behind the settlements spatial morphology of EGIDZ (<xref ref-type="fig" rid="F12">Figure 12</xref>).<list list-type="simple">
<list-item>
<p>1. Spatial form development from point to cluster. Water town settlements adhere strictly to the path of the natural landscape. Their layout appears as a point-like structure, scattered across the water network plain. Such point-like settlements tend to grow with the development of human activities. Over time, it forms linear or cluster shapes. Point-like settlements, often centered at river confluences, step by step expand along both sides of the water. This process, guided by the water system, forms an overall linear development. The settlement has an opportunity to eventually evolve into large cluster-like agglomeration.</p>
</list-item>
<list-item>
<p>2. Cluster spatial pattern from low to high density. Initially, people formed low-density point-like settlements mainly at the ends of river creeks. River creeks provide various essential conditions for human survival, such as water sources, transportation, and agricultural irrigation. With the formation of settlements and the growth of population, especially at the intersections of water ways, the convenience of transportation enabled settlements to develop into high-density economic and cultural centers.</p>
</list-item>
<list-item>
<p>3. Spatial structure evolution from river-oriented to road-oriented. In the era of water transport, the settlement space growing along riversides determined the parallel spatial structure of &#x201c;river-street-house&#x201d; in water town settlements. With the rapid development of urbanization, thoroughfares became an important factor in the spatial evolution of settlement forms, street organization, and residential courtyards. In addition to the linear distribution along rivers, the master plans of settlements developed towards roads. The settlement space expanded on multiple levels. This transition indicates the adaptation of human settlements to the water system. Moreover, it is clear that the transportation accessibility has the driving role in promoting agglomeration growth and functional upgrading.</p>
</list-item>
</list>
</p>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>The dynamic evolution of settlement space in water towns and representative cases. (Image source: author redrew based on historical documents, surveying and mapping data and other materials.) <bold>(a)</bold> Based on the <italic>Compilation of the Genealogy of the Fu Family Branches in Hangtou, Pudong, Shanghai</italic> compiled in 2010, the Map at the Beginning of the Volume was redrawn; <bold>(b)</bold> Redrawn based on the illustration on page 150 of Huang Zongzhi&#x2019;s <italic>Small Peasant Families and Rural Development in the Yangtze River Delta</italic> in 2000, Zhonghua Book Company; <bold>(c)</bold> Based on the <italic>Continuation Annals of Jiading County</italic> of the Republic of China era, the Map of Qianmen Tang Township at the top of the table and the caption was redrawn; <bold>(d)</bold> Redrawn based on the 148-page illustration in (<xref ref-type="bibr" rid="B23">Li, 2007</xref>) book <italic>Rural Settlements: Form, Type and Evolution: A Case Study of the Jiangnan Region</italic>, Southeast University Press; <bold>(e)</bold> Based on the 164-page illustration in (<xref ref-type="bibr" rid="B23">Li, 2007</xref>) book <italic>Rural Settlements: Form, Type and Evolution: A Case Study of the Jiangnan Region</italic>, Southeast University Press; <bold>(f)</bold> Redrawn based on the 43-page illustration in (<xref ref-type="bibr" rid="B23">Li, 2007</xref>) book <italic>Rural Settlements: Form, Type and Evolution: A Case Study of the Jiangnan Region</italic>, Southeast University Press.</p>
</caption>
<graphic xlink:href="feart-13-1652780-g012.tif">
<alt-text content-type="machine-generated">Maps illustrating the evolution of village settlements from point, linear, to cluster layouts, with specific examples from various towns and counties in China from the 1920s to the 1990s. Each map shows rivers, ditches, ponds, roads, farmland, and settlements, highlighting the different spatial arrangements over time and across different regions.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4-2">
<title>4.2 The influencing mechanism of the spatio-temporal evolution of water town settlements</title>
<p>Water resources not only serve as the foundation for human survival but also underpin diverse human activities and agricultural processes, making significant contributions to both the natural environment and human wellbeing (<xref ref-type="bibr" rid="B28">Liu et al., 2024</xref>). The settlement pattern of Jiangnan water towns results from a combination of natural, agricultural, and economic factors. Nature provides the terrain and water systems, agriculture shapes land use, and water transportation drives the economy. Together, they create an orderly pattern characterized by openness, diversity, complexity, and sustainability. The evolution of water systems provides the main reference point for the spatiotemporal process of traditional settlement development in water town areas. This process reveals the influence mechanism behind Jiangnan settlement spatial evolution (<xref ref-type="fig" rid="F13">Figure 13</xref>). This mechanism reflects the long-term interaction between human activities and the natural environment. It also provides a historical perspective for understanding current settlement patterns and predicting future development trends.<list list-type="simple">
<list-item>
<p>1. The water system environment determines the basic form and distribution pattern of human settlement spaces. Settlements and riversides are inseparably linked. Rivers are directly related to the construction of settlements and people&#x2019;s daily lives. It evolves into a settlement environment and spatial form characterized by &#x201c;villages depending on creeks (&#x6d5c;&#x6751;&#x76f8;&#x4f9d;)&#x201d;. The unique feature of Jiangnan water towns is their riverside existence. Settlements live directly alongside the water, set up markets and form streets on its banks. This layout creates a structure ideal for both water and land transportation.</p>
</list-item>
<list-item>
<p>2. Human activities drive the dynamic development of settlement spatial structures. The types and characteristics of settlement spaces in the Jiangnan region are shaped by a combination of social, economic, and political factors. Human demands for living environments, agricultural production, transportation, trade, and cultural activities drive the evolution and development of settlement spaces. Exploring the causal mechanisms behind Jiangnan water town spatial formations makes the ecological development more sustainable. This process requires a thorough consideration of complex &#x201c;nature-society-culture&#x201d; factors.</p>
</list-item>
</list>
</p>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Influencing factors of the spatial evolution of settlements.</p>
</caption>
<graphic xlink:href="feart-13-1652780-g013.tif">
<alt-text content-type="machine-generated">Diagram depicting the spatial evolution of water town settlements. The first section shows the interaction between water network environment and human settlement activities. The second section describes spatial patterns at macro, meso, and micro levels. The third section illustrates the evolution of settlement patterns through initiation, spatial growth, and development, detailing forms and locations. The bottom two statements emphasize how the water network influences settlement distribution and how human activities drive dynamic development.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<sec id="s5-1">
<title>5.1 Research findings</title>
<p>Focusing on the &#x201c;water systems - human settlements&#x201d; interaction, this paper analyzes multi-scale settlement space typologies and structural characteristics in the EGIDZ. Geographic information technology, remote sensing images, historical documents, and survey data together enable a schematic analysis of each settlement typologies and its structural characteristics. The following are the main findings of this study. 1) The settlement space in the EGIDZ generally presents a distribution pattern of &#x201c;large dispersion and small units&#x201d; and shows a tendency to spread outward with towns as the center. 2) The differences in water system forms determine the basic spatial types of settlement spaces (point, linear and cluster) and the structural characteristics of &#x201c;water-field-dwelling&#x201d;. Specifically, they are divided into five categories: Near B&#x101;ng - Low density - Point settlement, Riverside - Low density&#x2013;Linear settlement, Riverside - Medium density&#x2013;Linear settlement, Lakeside - Medium density - Cluster settlement, River network - High density - Cluster settlement. 3) The water system environment is closely related to the settlement space. Different settlement forms response to the water system environment in the region. The water system environment determines the spatial distribution and basic morphological characteristics of settlements. At the same time, human activity factors such as agricultural production and infrastructure construction promote the evolution and development of the settlement spatial structure.</p>
<p>The research framework of &#x201c;water system-human settlement&#x201d; interconnection serves as a basis for an in-depth exploration of the spatial characteristics and evolution laws of settlements in the EGIDZ. It provides important insights and references for the protection policies and landscape construction methods in the &#x201c;New Jiangnan Water Towns&#x201d;. (1) The spatiotemporal evolution of settlements in the EGIDZ under the &#x201c;water system-human settlement&#x201d; coupling reveals a critical insight: China&#x2019;s policies of urban-rural integration and the integration of the Yangtze River Delta should be implemented in coexistence with the natural environment. In particular, building an adaptive ecological coupling system enhances the ecosystem service efficiency of mountains, water, forests, and lakes. This process is vital for maintaining the ecological balance of water town settlement spaces. (2) Although there are obvious differences in characteristics among different settlement types and their spatial structures, they all share the common features of Jiangnan water towns. Therefore, in the practice of modern rural planning and urban renewal, it is necessary to respect the principle of the &#x201c;water-polder-dwelling-mountain&#x201d; landscape pattern in Jiangnan. (3) Human settlement space is the most precious cultural and material wealth of Jiangnan water towns. In the protection policies of historical towns, it is crucial to pay attention to the correlation between the traditional human settlements and other environmental elements. Architectural heritage protection must adapt to local conditions. An effective approach builds a protection path through ecological governance, spatial optimization, industrial development, and cultural inheritance.</p>
</sec>
<sec id="s5-2">
<title>5.2 Limitations and future directions</title>
<p>The &#x201c;water system-human settlement&#x201d; coupling morphology in this study provides a reference for the research on the sustainable development of water town settlement spaces. However, there are still some limitations. Firstly, the comprehensive method combining geographic information, historical documents, and field surveys may have deviations in data collection. Second, landscape pattern indices reveal interactions between water systems and human settlements while identifying spatial morphology. Nevertheless, complex theoretical research on the dynamic factors behind morphological changes remains underdeveloped. Furthermore, systematic research on &#x201c;water system-human settlement&#x201d; coupling requires more interdisciplinary technologies. Integrating cutting-edge GIS analysis with machine learning can provide a more detailed understanding of the interaction between the natural environment and human settlements.</p>
<p>Finally, subsequent studies should adopt more comprehensive perspectives from architecture, geography, ecology, and history. These investigations must also account for the unique regional characteristics of Jiangnan to systematically explore water town settlements. The implementation of rural revitalization and urban-rural integration policies provides a foundation for examining the &#x201c;water system-human settlement&#x201d; coupling structure and its underlying causal mechanisms. Comprehensive planning should formulate targeted, interactive construction strategies. These strategies should adapt to the trend of the Yangtze River Delta integration under the conditions of rapid urbanization.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>ZY: Writing &#x2013; original draft, Formal Analysis, Project administration, Visualization, Data curation, Resources, Validation, Conceptualization, Methodology, Supervision, Writing &#x2013; review and editing, Funding acquisition, Investigation, Software. HW: Resources, Project administration, Validation, Methodology, Writing &#x2013; review and editing, Supervision, Conceptualization, Funding acquisition. AK: Formal Analysis, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The following funding sources support this research: the Project of National Social Science Fund of China (Art Science). Research on the Mutual Adaptation Mechanism and Transformation of the &#x201c;Water Town Environmental System&#x201d; and &#x201c;Traditional Human Settlements&#x201d; in Jiangnan (grant number: 23BG141).</p>
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<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
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